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comp_dqp.cpp

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/*
ROBOOP -- A robotics object oriented package in C++
Copyright (C) 1996-2004  Richard Gourdeau

This library is free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation; either version 2.1 of the
License, or (at your option) any later version.

This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA


Report problems and direct all questions to:

Richard Gourdeau
Professeur Agrege
Departement de genie electrique
Ecole Polytechnique de Montreal
C.P. 6079, Succ. Centre-Ville
Montreal, Quebec, H3C 3A7

email: richard.gourdeau@polymtl.ca

-------------------------------------------------------------------------------
Revision_history:

2003/14/05: Etienne Lachance
   -Added function mRobot/mRobot_min_para::dqp_torque

2004/07/01: Etienne Lachance
   -Replaced vec_x_prod by CrossProduct.

2004/07/01: Ethan Tira-Thompson
    -Added support for newmat's use_namespace #define, using ROBOOP namespace

2004/07/02: Etienne Lachance
    -Added Doxygen comments.
-------------------------------------------------------------------------------
*/


static const char rcsid[] = "$Id: comp_dqp.cpp,v 1.16 2004/07/06 02:16:36 gourdeau Exp $";

#include "robot.h"

#ifdef use_namespace
namespace ROBOOP {
  using namespace NEWMAT;
#endif

void Robot::dqp_torque(const ColumnVector & q, const ColumnVector & qp,
                       const ColumnVector & dqp,
                       ColumnVector & ltorque, ColumnVector & dtorque)
{
   int i;
   Matrix Rt, temp;
   if(q.Ncols() != 1 || q.Nrows() != dof) error("q has wrong dimension");
   if(qp.Ncols() != 1 || qp.Nrows() != dof) error("qp has wrong dimension");
   if(dqp.Ncols() != 1 || qp.Nrows() != dof) error("dqp has wrong dimension");
   ltorque = ColumnVector(dof);
   dtorque = ColumnVector(dof);
   set_q(q);

   vp[0] = gravity;
   ColumnVector z0(3);
   z0(1) = 0.0; z0(2) = 0.0;  z0(3) = 1.0;
   Matrix Q(3,3);
   Q = 0.0;
   Q(1,2) = -1.0;
   Q(2,1) = 1.0;

   for(i = 1; i <= dof; i++)
   {
      Rt = links[i].R.t();
      p[i] = ColumnVector(3);
      p[i](1) = links[i].get_a();
      p[i](2) = links[i].get_d() * Rt(2,3);
      p[i](3) = links[i].get_d() * Rt(3,3);
      if(links[i].get_joint_type() != 0)
      {
         dp[i] = ColumnVector(3);
         dp[i](1) = 0.0;
         dp[i](2) = Rt(2,3);
         dp[i](3) = Rt(3,3);
      }
      if(links[i].get_joint_type() == 0)
      {
         w[i] = Rt*(w[i-1] + z0*qp(i));
         dw[i] = Rt*(dw[i-1] + z0*dqp(i));
         wp[i] = Rt*(wp[i-1] + CrossProduct(w[i-1],z0*qp(i)));
         dwp[i] = Rt*(dwp[i-1]
                      + CrossProduct(dw[i-1],z0*qp(i))
                      + CrossProduct(w[i-1],z0*dqp(i)));
         vp[i] = CrossProduct(wp[i],p[i])
                 + CrossProduct(w[i],CrossProduct(w[i],p[i]))
                 + Rt*(vp[i-1]);
         dvp[i] = CrossProduct(dwp[i],p[i])
                  + CrossProduct(dw[i],CrossProduct(w[i],p[i]))
                  + CrossProduct(w[i],CrossProduct(dw[i],p[i]))
                  + Rt*dvp[i-1];
      }
      else
      {
         w[i] = Rt*w[i-1];
         dw[i] = Rt*dw[i-1];
         wp[i] = Rt*wp[i-1];
         dwp[i] = Rt*dwp[i-1];
         vp[i] = Rt*(vp[i-1]
                     + 2.0*CrossProduct(w[i],Rt*z0*qp(i)))
                 + CrossProduct(wp[i],p[i])
                 + CrossProduct(w[i],CrossProduct(w[i],p[i]));
         dvp[i] = Rt*(dvp[i-1]
                      + 2.0*(CrossProduct(dw[i-1],z0*qp(i))
                             + CrossProduct(w[i-1],z0*dqp(i))))
                  + CrossProduct(dwp[i],p[i])
                  + CrossProduct(dw[i],CrossProduct(w[i],p[i]))
                  + CrossProduct(w[i],CrossProduct(dw[i],p[i]));
      }
      a[i] = CrossProduct(wp[i],links[i].r)
             + CrossProduct(w[i],CrossProduct(w[i],links[i].r))
             + vp[i];
      da[i] = CrossProduct(dwp[i],links[i].r)
              + CrossProduct(dw[i],CrossProduct(w[i],links[i].r))
              + CrossProduct(w[i],CrossProduct(dw[i],links[i].r))
              + dvp[i];
   }

   for(i = dof; i >= 1; i--)
   {
      F[i] = a[i] * links[i].m;
      N[i] = links[i].I*wp[i] + CrossProduct(w[i],links[i].I*w[i]);
      dF[i] = da[i] * links[i].m;
      dN[i] = links[i].I*dwp[i] + CrossProduct(dw[i],links[i].I*w[i])
              + CrossProduct(w[i],links[i].I*dw[i]);
      if(i == dof)
      {
         f[i] = F[i];
         n[i] = CrossProduct(p[i],f[i])
                + CrossProduct(links[i].r,F[i]) + N[i];
         df[i] = dF[i];
         dn[i] = CrossProduct(p[i],df[i])
                 + CrossProduct(links[i].r,dF[i]) + dN[i];
      }
      else
      {
         f[i] = links[i+1].R*f[i+1] + F[i];
         df[i] = links[i+1].R*df[i+1] + dF[i];
         n[i] = links[i+1].R*n[i+1] + CrossProduct(p[i],f[i])
                + CrossProduct(links[i].r,F[i]) + N[i];
         dn[i] = links[i+1].R*dn[i+1] + CrossProduct(p[i],df[i])
                 + CrossProduct(links[i].r,dF[i]) + dN[i];
      }
      if(links[i].get_joint_type() == 0)
      {
         temp = ((z0.t()*links[i].R)*n[i]);
         ltorque(i) = temp(1,1);
         temp = ((z0.t()*links[i].R)*dn[i]);
         dtorque(i) = temp(1,1);
      }
      else
      {
         temp = ((z0.t()*links[i].R)*f[i]);
         ltorque(i) = temp(1,1);
         temp = ((z0.t()*links[i].R)*df[i]);
         dtorque(i) = temp(1,1);
      }
   }
}

void mRobot::dqp_torque(const ColumnVector & q, const ColumnVector & qp,
                        const ColumnVector & dqp, ColumnVector & ltorque,
                        ColumnVector & dtorque)
{
   int i;
   Matrix Rt, temp;
   if(q.Ncols() != 1 || q.Nrows() != dof) error("q has wrong dimension");
   if(qp.Ncols() != 1 || qp.Nrows() != dof) error("qp has wrong dimension");
   if(dqp.Ncols() != 1 || dqp.Nrows() != dof) error("dqp has wrong dimension");
   ltorque = ColumnVector(dof);
   dtorque = ColumnVector(dof);
   set_q(q);

   vp[0] = gravity;
   ColumnVector z0(3);
   z0(1) = 0.0; z0(2) = 0.0; z0(3) = 1.0;
   Matrix Q(3,3);
   Q = 0.0;
   Q(1,2) = -1.0;
   Q(2,1) = 1.0;
   for(i = 1; i <= dof; i++)
   {
      Rt = links[i].R.t();
      p[i] = links[i].p;
      if(links[i].get_joint_type() != 0)
      {
         dp[i] = ColumnVector(3);
         dp[i](1) = 0.0;
         dp[i](2) = Rt(2,3);
         dp[i](3) = Rt(3,3);
      }
      if(links[i].get_joint_type() == 0)
      {
         w[i] = Rt*w[i-1] + z0*qp(i);
         dw[i] = Rt*dw[i-1] + z0*dqp(i);
         wp[i] = Rt*wp[i-1] + CrossProduct(Rt*w[i-1],z0*qp(i));
         dwp[i] = Rt*dwp[i-1] + CrossProduct(Rt*dw[i-1],z0*qp(i))
                  + CrossProduct(Rt*w[i-1],z0*dqp(i));
         vp[i] = Rt*(CrossProduct(wp[i-1],p[i])
                     + CrossProduct(w[i-1],CrossProduct(w[i-1],p[i]))
                     + vp[i-1]);
         dvp[i] = Rt*(CrossProduct(dwp[i-1],p[i])
                      + CrossProduct(dw[i-1],CrossProduct(w[i-1],p[i]))
                      + CrossProduct(w[i-1],CrossProduct(dw[i-1],p[i])) + dvp[i-1]);
      }
      else
      {
         w[i] = Rt*w[i-1];
         dw[i] = Rt*dw[i-1];
         wp[i] = Rt*wp[i-1];
         dwp[i] = Rt*dwp[i-1];
         vp[i] = Rt*(vp[i-1] + CrossProduct(wp[i-1],p[i])
                     + CrossProduct(w[i-1],CrossProduct(w[i-1],p[i])))
                 + 2.0*CrossProduct(w[i],z0*qp(i));
         dvp[i] = Rt*(CrossProduct(dwp[i-1],p[i])
                      + CrossProduct(dw[i-1],CrossProduct(w[i-1],p[i]))
                      + CrossProduct(w[i-1],CrossProduct(dw[i-1],p[i])) + dvp[i-1])
                  + 2*(CrossProduct(dw[i],z0*qp(i)) + CrossProduct(w[i],z0*dqp(i)));
      }
      a[i] = CrossProduct(wp[i],links[i].r)
             + CrossProduct(w[i],CrossProduct(w[i],links[i].r))
             + vp[i];
      da[i] = CrossProduct(dwp[i],links[i].r)
              + CrossProduct(dw[i],CrossProduct(w[i],links[i].r))
              + CrossProduct(w[i],CrossProduct(dw[i],links[i].r))
              + dvp[i];
   }

   for(i = dof; i >= 1; i--) {
      F[i] = a[i] * links[i].m;
      N[i] = links[i].I*wp[i] + CrossProduct(w[i],links[i].I*w[i]);
      dF[i] = da[i] * links[i].m;
      dN[i] = links[i].I*dwp[i] + CrossProduct(dw[i],links[i].I*w[i])
              + CrossProduct(w[i],links[i].I*dw[i]);

      if(i == dof)
      {
         f[i] = F[i];
         df[i] = dF[i];
         n[i] = CrossProduct(links[i].r,F[i]) + N[i];
         dn[i] = dN[i] + CrossProduct(links[i].r,dF[i]);
      }
      else
      {
         f[i] = links[i+1].R*f[i+1] + F[i];
         df[i] = links[i+1].R*df[i+1] + dF[i];
         n[i] = links[i+1].R*n[i+1] + CrossProduct(p[i+1],links[i+1].R*f[i+1])
                + CrossProduct(links[i].r,F[i]) + N[i];
         dn[i] = links[i+1].R*dn[i+1] + CrossProduct(p[i+1],links[i+1].R*df[i+1])
                 + CrossProduct(links[i].r,dF[i]) + dN[i];
      }

      if(links[i].get_joint_type() == 0)
      {
         temp = z0.t()*n[i];
         ltorque(i) = temp(1,1);
         temp = z0.t()*dn[i];
         dtorque(i) = temp(1,1);
      }
      else
      {
         temp = z0.t()*f[i];
         ltorque(i) = temp(1,1);
         temp = z0.t()*df[i];
         dtorque(i) = temp(1,1);
      }
   }
}

void mRobot_min_para::dqp_torque(const ColumnVector & q, const ColumnVector & qp,
                                 const ColumnVector & dqp, ColumnVector & ltorque,
                                 ColumnVector & dtorque)
{
   int i;
   Matrix Rt, temp;
   if(q.Ncols() != 1 || q.Nrows() != dof) error("q has wrong dimension");
   if(qp.Ncols() != 1 || qp.Nrows() != dof) error("qp has wrong dimension");
   if(dqp.Ncols() != 1 || dqp.Nrows() != dof) error("dqp has wrong dimension");
   ltorque = ColumnVector(dof);
   dtorque = ColumnVector(dof);
   set_q(q);

   vp[0] = gravity;
   ColumnVector z0(3);
   z0(1) = 0.0; z0(2) = 0.0; z0(3) = 1.0;
   Matrix Q(3,3);
   Q = 0.0;
   Q(1,2) = -1.0;
   Q(2,1) = 1.0;
   for(i = 1; i <= dof; i++)
   {
      Rt = links[i].R.t();
      p[i] = links[i].p;
      if(links[i].get_joint_type() != 0)
      {
         dp[i] = ColumnVector(3);
         dp[i](1) = 0.0;
         dp[i](2) = Rt(2,3);
         dp[i](3) = Rt(3,3);
      }
      if(links[i].get_joint_type() == 0)
      {
         w[i] = Rt*w[i-1] + z0*qp(i);
         dw[i] = Rt*dw[i-1] + z0*dqp(i);
         wp[i] = Rt*wp[i-1] + CrossProduct(Rt*w[i-1],z0*qp(i));
         dwp[i] = Rt*dwp[i-1] + CrossProduct(Rt*dw[i-1],z0*qp(i));
         vp[i] = Rt*(CrossProduct(wp[i-1],p[i])
                     + CrossProduct(w[i-1],CrossProduct(w[i-1],p[i]))
                     + vp[i-1]);
         dvp[i] = Rt*(CrossProduct(dwp[i-1],p[i])
                      + CrossProduct(dw[i-1],CrossProduct(w[i-1],p[i]))
                      + CrossProduct(w[i-1],CrossProduct(dw[i-1],p[i])) + dvp[i-1]);
      }
      else
      {
         w[i] = Rt*w[i-1];
         dw[i] = Rt*dw[i-1];
         wp[i] = Rt*wp[i-1];
         dwp[i] = Rt*dwp[i-1];
         vp[i] = Rt*(vp[i-1] + CrossProduct(wp[i-1],p[i])
                     + CrossProduct(w[i-1],CrossProduct(w[i-1],p[i])))
                 + 2.0*CrossProduct(w[i],z0*qp(i));
         dvp[i] = Rt*(CrossProduct(dwp[i-1],p[i])
                      + CrossProduct(dw[i-1],CrossProduct(w[i-1],p[i]))
                      + CrossProduct(w[i-1],CrossProduct(dw[i-1],p[i])) + dvp[i-1])
                  + 2*(CrossProduct(dw[i],z0*qp(i)) + CrossProduct(w[i],z0*dqp(i)));
      }
   }

   for(i = dof; i >= 1; i--) {
      F[i] = vp[i]*links[i].m + CrossProduct(wp[i], links[i].mc) +
             CrossProduct(w[i], CrossProduct(w[i], links[i].mc));
      dF[i] = dvp[i]*links[i].m + CrossProduct(dwp[i],links[i].mc)
              + CrossProduct(dw[i],CrossProduct(w[i],links[i].mc))
              + CrossProduct(w[i],CrossProduct(dw[i],links[i].mc));
      N[i] = links[i].I*wp[i] + CrossProduct(w[i],links[i].I*w[i])
             - CrossProduct(vp[i], links[i].mc);
      dN[i] = links[i].I*dwp[i] + CrossProduct(dw[i],links[i].I*w[i])
              + CrossProduct(w[i],links[i].I*dw[i])
              - CrossProduct(dvp[i],links[i].mc);

      if(i == dof)
      {
         f[i] = F[i];
         df[i] = dF[i];
         n[i] = N[i];
         dn[i] = dN[i];
      }
      else
      {
         f[i] = links[i+1].R*f[i+1] + F[i];
         df[i] = links[i+1].R*df[i+1] + dF[i];
         n[i] = links[i+1].R*n[i+1] + CrossProduct(p[i+1],links[i+1].R*f[i+1]) + N[i];
         dn[i] = links[i+1].R*dn[i+1] + CrossProduct(p[i+1],links[i+1].R*df[i+1]) + dN[i];
      }

      if(links[i].get_joint_type() == 0)
      {
         temp = z0.t()*n[i];
         ltorque(i) = temp(1,1);
         temp = z0.t()*dn[i];
         dtorque(i) = temp(1,1);
      }
      else
      {
         temp = z0.t()*f[i];
         ltorque(i) = temp(1,1);
         temp = z0.t()*df[i];
         dtorque(i) = temp(1,1);
      }
   }
}

#ifdef use_namespace
}
#endif

---

kni
Author(s): Neuronics AG (see AUTHORS.txt); ROS wrapper by Martin Günther
autogenerated on Tue Mar 5 12:32:59 2013